Machine Learning Engineer
Opportunity :Machine Learning Engineer
Our client is a global leader and
- growing data science powerhouse committed to excellence in transforming complex data into actionable insights. With a diverse team of experts from around the world, they strive to be the foremost partner in advanced analytics, predictive modeling, and digital transformation, empowering organizations to achieve breakthrough performance and a competitive edge.
This role blends deep technical expertise with innovation, contributing directly to R&D efforts while developing scalable, intelligent systems using both traditional and
-
-
- art machine learning techniques, including Large Language Models (LLMs).
Responsibilities :
- Design, build, and maintain scalable ML pipelines from feature engineering to production deployment and monitoring.
- Collaborate with Data Scientists to transition models from experimentation to production, ensuring system performance and reliability.
- Lead or support R&D initiatives applying innovative ML techniques, including LLMs, to solve
- world challenges. - Contribute to the design and implementation of database architectures supporting scalable ML workflows.
- Work within the E-commerce vertical, powering personalized, intelligent, and
- performing AI solutions. - Help develop the foundations of a Vertical AI platform, combining
- edge ML techniques with robust software design. - Implement and maintain CI/CD pipelines, testing frameworks, and observability tools for ML systems.
- Participate in technical discussions, architecture design, and code reviews, contributing to
- level decisions.
Profile sought :
Education :
Master’s or Ph
D in Computer Science, Artificial Intelligence, Data Science, or a related field.
Technical Skills :
- 3+ years of experience developing and deploying ML systems in production environments.
- Strong proficiency in Python and experience with ML libraries such as
- learn, XGBoost, Py
Torch, or Tensor
Flow. - Experience designing and managing relational (e. g. , Postgre
SQL),
- based (e. g. , Mongo
DB), and
- based (e. g. , Neo4j) databases. - Previous exposure to LLMs and/or Recommendation Systems is a plus.
- Familiarity with MLOps practices and
- based deployments (AWS, GCP, or Azure). - Solid programming background with a focus on creating robust, maintainable, and scalable solutions.
Benefits & Culture :
- Bonus Salary Policy:Enjoy a 15th-month bonus.
- Additional Vacation:Receive 4 extra vacation days to support a healthy
- life balance. - International Exposure:Get the opportunity to participate in international projects that broaden your professional experience.
- Professional Development:Benefit from
- paid certifications, extensive training, and continuous career progression support. - Home Office Support:A dedicated home office budget is provided to ensure you have the necessary tools and equipment.
- Team Building and Culture:Engage in team building activities within an innovative, young, and dynamic work environment.
Department: Data Science
Location: Based in Porto, Portugal. Although there is the possibility of remote working, we are onlyconsidering people located in Portugal.
Starting date : ASAP
#J-18808-Ljbffr- Informações detalhadas sobre a oferta de emprego
Empresa: login.works Localização: Porto
Porto, Porto District, PortugalPublicado: 14. 7. 2025
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